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I'm working with an innovative space technology company developing advanced autonomous systems for spacecraft operations, inspection, and navigation for complex missions in challenging environments. They're looking for a Senior Computer Vision Engineer to help build cutting-edge perception and vision algorithms. What they're looking for: Master's degree in Computer Science, Aerospace Engineering, Robotics, or a related STEM subject 5+ years' experience developing computer vision algorithms in industry or research Strong understanding of computer vision, image processing, machine learning, and deep learning Experience taking algorithms from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks Knowledge of camera, LiDAR, or multi-sensor perception systems Experience with software testing, integration, and Git-based development workflows Experience in robotics, autonomous systems, embedded software, or safety-critical environments (nice to have) Knowledge of sensor fusion, ROS/ROS2, navigation, or space systems (nice to have) Why consider it: Solve complex perception and navigation challenges with real-world impact Flexible and hybrid working environment Competitive salary and benefits package Excellent opportunity for career growth within a rapidly expanding deep-tech organisation Please contact Chris Amison for more information.

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job SummaryViridien is seeking a Head of Applied AI Products to lead the design and realization of our AI-native product ecosystem. This role sits at the intersection of engineering, research, and product architecture, defining the technical direction for AI-powered solutions and translating emerging AI capabilities into scalable, production-grade products.The role focuses on transforming unstructured geoscience domain data into structured knowledge systems and building AI-native tools that enable advanced data analysis and customizable workflows. The Head of Applied AI Products will shape the AI roadmap, define system architectures, and ensure the successful delivery of innovative AI-driven capabilities aligned with Viridien’s strategic goals.Key Responsibilities• AI Product Architecture & StrategyDefine and own the AI product architecture and technical product roadmap.Translate emerging AI capabilities into scalable product architectures and user experiences.Establish best practices for building reliable, observable, and debuggable LLM-powered systems.• AI Data Pipelines & SystemsDesign and improve end-to-end AI pipelines.Develop document ingestion, layout analysis, and information extraction capabilities.Build entity resolution processes aligned with standardized domain databases.Implement table understanding and schema normalization into predefined data schemas.• Advanced AI & AnalyticsDesign and implement advanced analytics capabilities.Develop domain-specific machine learning models in collaboration with subject matter experts.Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.• AI Applications & PlatformsLead the development of AI-native applications and tools.Implement tool-calling and orchestration frameworks for domain-specific software.Develop data analysis and integration systems.Implement human-in-the-loop validation and feedback mechanisms.• Technical Leadership & PrototypingPrototype core systems to validate feasibility and guide implementation.Partner with engineering teams to review designs and ensure strong technical architecture.Drive the transition from experimental AI capabilities to scalable production systems.What We Are Looking ForStrong engineering background (ML engineering, MLOps engineer, or equivalent).Proven experience building complex systems from 01.Ability to independently write production-quality code and build functional prototypes.Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).Solid understanding of data pipelines, system design, and service-oriented architectures.Product-minded: able to reason about user value, tradeoffs, and adoption—not only implementation.Comfortable operating in high-ambiguity, fast-evolving technical environments.Learning and DevelopmentAt Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.We Care About The EnvironmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Singapore, Singapore; Crawley, United KingdomType: Full time

Trainee AI Engineer – No Experience Needed \n Future-proof your career in Artificial Intelligence – starting today. \n Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. \n Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n \n How It Works \n Step 1 – AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 – Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 – Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 – Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 – Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 – Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 – AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 – AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 – Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 – AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 – Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 – Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 – AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 – Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 – AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee – get a job or your money back \n · Starting salary of £28,000–£45,000 \n \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. \n "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London \n \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. \n

Software Engineer (AWS, Python, C#/C++, CFD/FEA)Oxford - 3-4 days per week in office.£45000 - £68000 + Package.- Must have a Computing/STEM Degree (2:1 or higher).- Can work in their Oxford head office 3-4 days week.- Must have experience with AWS / Distributed Computing and Applied/Mechanical EngineeringYour new companyYou'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed.This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time.Crucially we are looking for experience with AWS Cloud / Distributed Computing to be considered. Your new roleIn this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation.Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges.With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands.What you'll need to succeedWe're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University.We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript.You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background.You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential.Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in returnThe company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site.What you need to do nowTo find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. \n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job DetailsViridien are seeking a Senior Cloud Engineer to lead the secure, reliable implementation of cloud architecture within our own and clients’ cloud environments. They will take end-to-end ownership from cloud foundations and automation through to secure, reliable production deployment. They will work closely with the software teams, to ensure that our market leading data transformation software solution can be securely, reliably and repeatedly deployed across a variety of cloud platforms and subject to varying governance and security patterns found within our deployment environments. The role includes implementing and operating Kubernetes platforms and database services (PaaS and VM-based) to meet agreed security, performance, and resilience requirements. About The TeamData Hub is a growing and dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients’ data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will work hybrid in one of our hub locations (North Wales or Crawley) and you will be working alongside our teams of data engineers, machine learning engineers and software developers. Key ResponsibilitiesImplement cloud architecture in Viridien and client cloud environments, translating designs into working, production-grade deployments Build and automate cloud foundations: subscriptions/accounts, networking, identity integration, governance/guardrails, and baseline security controls. Deliver Kubernetes-based platforms (primarily AKS; EKS or equivalents where needed), including cluster configuration, networking, ingress, certificates, secrets, scaling, upgrades, and operational tooling. Own Infrastructure as Code and CI/CD: create and maintain Terraform/Bicep modules, deployment pipelines, environment promotion, and release controls. Security-by-design implementation: IAM/RBAC, network segmentation, private connectivity, encryption, secrets management, policy-as-code, logging/monitoring, vulnerability management integration. Operational readiness and handover: observability/alerting, backup and disaster recovery, runbooks, support documentation, and knowledge transfer to client operational teams. Troubleshoot and resolve complex issues across cloud infrastructure, Kubernetes, and database platforms; drive root-cause analysis and preventative improvements. Contribute to standards and reusable assets: reference implementations, landing-zone patterns, modules, and engineering guidance to improve repeatability and reduce delivery risk. Collaborate with client stakeholders (engineering, security, operations) to validate requirements, manage technical risks, and coordinate delivery plans and change windows. QualificationsRequiredStrong track record delivering production Azure environments, including hands-on experience ofnetworking, IAM, governance, and security controls, ideally through working with external clients Significant hands-on experience implementing and operating Kubernetes, including upgrade strategy, cluster security, workload isolation, and operational tooling. Proven capability delivering database platforms using both PaaS services and VM-based approaches, with a clear understanding of backup/restore, performance, and HA/DR. Strong experience with Infrastructure as Code (Terraform and/or Bicep/ARM) and CI/CD (Azure DevOps, GitHub Actions, GitLab CI or similar). Solid cloud security engineering knowledge: RBAC/IAM, private networking, key/secrets management, encryption, secure logging, and policy/guardrails. Excellent troubleshooting skills across networking (DNS, routing, firewalls), distributed systems, and platform services. Comfortable operating with autonomy: planning implementation, owning outcomes, and driving improvements. DesirableAWS delivery experience and/or any experience with Openstack Experience with landing zones and well-architected frameworks (e.g., Azure Landing Zone, CAF). Scripting/automation (PowerShell, Python, Bash). Policy-as-code and security tooling integration (Azure Policy, OPA/Gatekeeper/Kyverno, Checkov/TFSec, Defender for Cloud, Sentinel, etc.). Hybrid/private cloud experience Experience working under high-assurance security requirements dictated by external parties Additional InformationHybrid working available from North Wales or Crawley.Opportunity to work across both Viridien and client cloud environments.Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible working with up to 2 days at homeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programCompany pension with generous employer contributionWellbeing Unmind app – puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!Regular social club events, spontaneous reward events throughout the yearCycle purchase schemeFlexible Private Medical & Dental care programmesSponsorship of visas/comprehensive relocation packagesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyLearning and DevelopmentAt Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.We Care About The EnvironmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.#LI-PC1Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Crawley, United Kingdom; Llandudno, United KingdomType: Full time

We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. Machine Learning Engineer (Computer Vision). At least 2 years of commercial experience in a Machine Learning

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

I’m working with a cutting-edge AI & Machine Learning company specialising in Robotics, Maritime and Rotorcraft. This is a team developing highly technical perception systems to convert environmental data into actionable insights with huge implications in emerging technologies. There are no passengers on this team, the mission always comes first and there’s no compromising on quality. This is an exciting opportunity for a machine learning and/or computer vision engineer looking to join a team at the stage where their contribution shapes the companies impact. What they’re looking for: Strong background in machine learning and/ or computer vision PhD preferred (Machine Learning, Computer Vision, Mathematics, Physics, or related field) Evidence of rigorous thinking through research, publications, or technically demanding projects Experience with model training, evaluation, and optimisation, including working with real-world datasets Familiarity with building or supporting ML pipelines, from experimentation through to deployment Understanding of performance trade-offs (e.g. speed vs accuracy vs robustness) Comfortable operating in a hands-on, high-ownership environment Why consider it: Early-stage company with strong growth potential Very competitive salary + equity High level of ownership and technical influence Opportunity to work on challenging, real-world vision problems Collaborative, high performing team environment Please contact Chris Amison for more information.

I'm working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. This is a high‑impact opportunity for a Machine Learning Engineer looking to make a difference in silicon. What they’re looking for

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.About the Data Platform TeamOur Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities.We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains:Streaming and batch data platforms that unlock data across TripadvisorETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and HiveOrchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operationsTracking instrumentation, information architecture, and data governance tooling for business-critical analyticsWe collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization.Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You’ll bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers.Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk.What You’ll DoData Engineering & Data Products, ETLsDesign, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.Ensure enterprise data integrity, validation, documentation, and governance.Platform & Software EngineeringWrite production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling.Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads.Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days).Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling.Quality, Collaboration & OwnershipTake on projects with independence and a mandate to leave things better than you found them.Be integral to code quality on your team through leadership in design and code review.Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions.Work alongside engineering groups located around the world in a fast-paced, dynamic environment.Skills & Experience4–5+ years of data engineering or general software development experience in a commercial setting.Strong hands-on proficiency in both Java and Python for production systems.Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production.Proficiency in SQL and data exploration across large, complex datasets.Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets.Solid foundation in data structures, algorithms, and object-oriented design.Professional experience building REST services and working with event queue systems.Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers.Systems performance and tuning experience, with an understanding of how architecture impacts scalability.Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.Strong analytical skills; desire to write clean, correct, and efficient code.Self-paced, organized, and detail-oriented with a strong sense of ownership, urgency, and pride in your work.Ability to break down complex problems into simple, pragmatic solutions.Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems.Willingness and ability to take on new technologies as our stack evolves.Nice to HaveExperience with stream processing frameworks such as Flink or Spark Streaming.Experience with task orchestration tools such as Apache Airflow or similar systems.Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT.Experience working with and designing infrastructures for large-scale data processing (Hive, Snowflake, NoSQL databases).Experience with data governance practices and tooling.Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively.Experience developing scalable code for high-volume, low-latency systems.What We OfferCompetitive compensation packages, including base salary, annual bonus, and more.“Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.Donation matching. Give back? Give more! We match qualifying charitable donations annually.Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.Travel perks. We believe that travel is employee development, so we provide discounts and more.Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.Health benefits. We offer great coverage and competitive premiums.Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.Our Cultural Pillars:Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!#LI-SM1#LI-Remote

In this role you will build software solutions for the automation of super-resolution microscopy, image analysis to enable non-expert scientists to gain rapid and actionable insights using super-resolution across academic research, drug development, and diagnosticsYour Role at ONI: Build solutions f

Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programHybrid working with two days at home, flexible workingCompany pension with generous employer

Reference: 4763934Job ID: 5370351Posted: 2026-07-14Closing date: 2026-10-12Location: OxfordSalary: 45000 - 68000 + Package (per annum)Job type: PermanentWorking pattern: Full timeIndustry: Technology & Internet Services / Software DevelopmentCompany: HaysConsultant: Maxwell WilcockHays office: Southampton — Ground Floor, Clockwise, Mountbatten House, Grosvenor SquarePhone: 01202048614Email: maxwell.wilcock@hays.comSoftware Engineer (AWS, Python, C#/C++, CFD/FEA)Oxford – 3-4 days per week in office.45000 - 68000 + Package.- Must have a Computing/STEM Degree (2:1 or higher).- Can work in their Oxford head office 3-4 days week.- Must have experience with AWS / Distributed Computing and Applied/Mechanical EngineeringYour new companyYou’ll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed.This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience – you must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time.Crucially we are looking for experience with AWS Cloud / Distributed Computing to be considered. Your new roleIn this role you’ll be tackling engineering challenges that most organisations simply can’t touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation.Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You’ll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges.With the rapid expansion and new investment into the company it’s an exciting time to be joining with solid progression opportunities. You’re also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands.What you'll need to succeedWe’re looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline – ideally from a Russell Group University.We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you’ll have worked with Vue/Django, JavaScript/Typescript.You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background.You’ll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential.Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in returnThe company offers 25 days’ holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site.What you need to do nowTo find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on 0333 010 5724.At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we’re ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. #4763934 - Maxwell Wilcock

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.Job DutiesAbout Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience — geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team QualificationsBachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5–10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.Location97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job DetailsRequisition Number: 209992 Experience Level: Experienced HireJob Family: Engineering/Science/TechnologyProduct Service Line: Landmark Software & Services Full Time / Part Time: Full TimeAdditional Locations for this position: Compensation InformationCompensation is competitive and commensurate with experience.

You will work on production-grade CV models, from research to deployment, collaborating with engineers, data scientists, and domain experts. Platform Recruitment is seeking a Machine Learning Engineer specializing in computer vision for our Oxford-based team. Strong Python and ML framework experienc

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. AI Engineer: £45,000 – £60,000.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£30k average starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £1499, 13 interest free monthly instalments of £130, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

A fantastic opportunity has arisen for an experienced Senior Computer Vision Engineer to take a leading technical role within a team developing advanced computer vision, perception and autonomous navigation technologies. You’ll work across the full development lifecycle, from algorithm design and subsystem architecture through to verification, testing and deployment, while also providing technical guidance to other engineers. This role offers the opportunity to work on complex technical problems involving sensing, perception and autonomous systems, collaborating closely with Systems, GNC, Flight Dynamics, Software and Hardware teams. The Role Design and develop advanced computer vision algorithms for object detection, tracking and 6DoF pose estimation. Contribute to computer vision subsystem architecture, requirements and performance budgets. Support the selection, procurement and integration of LiDAR and camera systems. Lead and contribute to verification and validation activities, including performance assessment and requirements verification. Support hardware-in-the-loop and integrated system testing. Support the integration of computer vision algorithms into embedded and flight software. Collaborate with multidisciplinary engineering teams to ensure software and hardware performance and compatibility. Review engineering work and provide technical guidance and mentoring to less experienced engineers. Research and evaluate state-of-the-art computer vision technologies. Contribute to system-level engineering activities, including FMECA and FDIR. Help develop robust, reliable and scalable computer vision solutions. About You You’ll be an experienced Computer Vision Engineer with a strong track record of developing algorithms and taking them through validation and deployment. Essential experience includes: Master's degree in Computer Science, Software Engineering, Aerospace Engineering or another relevant discipline. 5+ years' industrial or research experience in computer vision algorithm development and deployment. Strong understanding of computer vision, image processing, machine learning and deep learning. Proven experience taking computer vision algorithms from concept through to validation and deployment. Strong programming skills in Python, MATLAB, C and/or C++. Experience with OpenCV, TensorFlow and/or PyTorch. Strong understanding of camera and LiDAR technologies. Experience with software testing and integration. Good understanding of Git and software configuration management. Strong analytical and problem-solving capabilities. Excellent communication skills, with the ability to explain complex technical concepts clearly. A proactive approach and the ability to work effectively across multiple engineering disciplines. Desirable Experience The following would be particularly valuable: Experience with vision-based navigation or perception for space systems. Experience within space, aerospace, robotics or autonomous systems. Knowledge of rigid-body dynamics and kinematics. Experience with sensor fusion and multi-sensor perception. LiDAR signal processing. Embedded C/C++ development, particularly in safety-critical environments. ROS, ROS2 or similar robotics middleware. HIL testing and integrated system campaigns. CI/CD pipelines and automated testing frameworks. What’s on Offer? Hybrid working in Oxfordshire. Optional 9-day fortnight working pattern. 25 days' holiday, increasing with service, plus bank holidays. Private healthcare, life insurance and long-term sick pay. Relocation support may be available. Modern engineering and technical facilities. Collaborative, international and technically driven working environment. This is an excellent opportunity for a senior engineer looking to combine hands-on technical development, system-level engineering and technical leadership within a highly challenging computer vision environment. TT

An exciting opportunity has arisen for a Computer Vision Engineer to join a highly technical engineering team developing advanced perception and autonomous navigation technologies. You’ll be responsible for the design, development, verification and deployment of computer vision algorithms and software, contributing to challenging applications involving object detection, tracking and 6DoF pose estimation. Working alongside engineers across software, systems, GNC and other technical disciplines, you’ll have the opportunity to take algorithms from initial concept through validation and integration into complex autonomous systems. The Role Design and develop computer vision algorithms for object detection, tracking and 6DoF pose estimation. Contribute to computer vision subsystem architectures, requirements and performance budgets. Support the verification and validation of algorithms, including performance assessment and requirements verification. Support hardware-in-the-loop and integrated system testing. Work with camera and LiDAR sensing technologies, supporting hardware selection and integration. Support the integration of computer vision algorithms into embedded and flight software. Collaborate closely with Systems, GNC, Flight Dynamics and Software teams. Conduct research into emerging computer vision technologies and assess their application to future systems. Contribute to the development of robust and reliable solutions for demanding operational environments. About You We’re looking for an engineer with a strong technical foundation in computer vision and experience taking algorithms beyond research and into practical deployment. Essential experience includes: Master's degree in Computer Science, Software Engineering, Aerospace Engineering or another relevant discipline. 2+ years' industrial or research experience in computer vision algorithm development and deployment. Strong understanding of computer vision, image processing, machine learning and deep learning. Demonstrable experience developing algorithms from concept through to validation and deployment. Strong programming skills in Python, MATLAB, C and/or C++. Experience with frameworks and libraries such as OpenCV, TensorFlow and/or PyTorch. Understanding of camera and/or LiDAR sensor principles. Good knowledge of software configuration management and Git. Strong analytical and problem-solving abilities. Excellent communication skills and the ability to collaborate across multidisciplinary teams. Desirable Experience Experience within space, aerospace, robotics or autonomous systems would be advantageous, as would experience with: Vision-based navigation and perception. Sensor fusion and multi-sensor perception. LiDAR signal processing. ROS or ROS2. Embedded C/C++ development. Safety-critical software. Computer vision testbeds and data-generation environments. CI/CD and automated testing frameworks. What’s on Offer? Hybrid working in Oxfordshire. Optional 9-day fortnight working pattern. 25 days' holiday, increasing with service, plus bank holidays. Private healthcare and life insurance. Long-term sick pay. Relocation support may be available. Access to modern engineering and technical facilities. Collaborative and internationally diverse working environment. This is an excellent opportunity for a Computer Vision Engineer who wants to work on technically challenging perception and autonomous systems problems, while developing solutions that move beyond theory and into real-world applications. TT

MICROFLUIDICS ENGINEER Location: Oxford Reporting to: COO / CPO Employment: Full time, permanent Level: Commensurate with experience Sector: Medical Devices / IVD, early stage startup Working arrangement: On site ABOUT THE COMPANY Our client is a medical device company developing a culture free in vitro diagnostic system for rapid bacterial identification and antimicrobial susceptibility testing directly from whole blood. Their technology combines microfluidic sample preparation, Raman spectroscopy, a growing Raman spectra database, and machine learning driven analysis to produce clinically actionable results far faster than conventional blood culture methods. The technology has performed strongly in laboratory validation, and the company is now progressing through a prototyping and pilot study phase, with regulatory submissions planned under FDA and EU IVDR routes. Microfluidics sits at the heart of the platform, taking whole blood and delivering clean, concentrated, viable cells to the optical system. The successful candidate will join a small, closely knit microfluidics team and will have a genuine, lasting influence on how the sample preparation technology is designed, de risked, and manufactured at scale. THE ROLE This role covers the design and development of microfluidic sample preparation systems used to process whole blood for the diagnostic platform. The company is looking for a hands on engineer to join the microfluidics team, working across the full lifecycle from early stage concept prototyping through to designing for scaled up, regulated manufacture. The position spans bacterial identification (ID) and antimicrobial susceptibility testing (AST) assays as well as emerging fungal applications, and sits at the intersection of microfluidics, fluid mechanics, and practical engineering. You will contribute across design, prototyping, experimental testing, manufacturing transfer, and scale up, taking genuine ownership of the subsystems you work on. KEY RESPONSIBILITIES • Contribute to the design and optimisation of microfluidic devices and flow systems across bacterial ID, AST, and fungal applications, • Design, build, and test prototypes, including experimental validation using biological samples, • Plan and run structured experiments and characterisation studies, including design of experiments, to quantify performance and process robustness, • Analyse system performance and troubleshoot fluidic behaviour, using data to inform design decisions, • Develop and qualify cartridge sealing, bonding, and surface treatment strategies, working with internal teams and external partners, • Support improvements to the robustness, reliability, and scalability of devices, • Design for manufacture and scale up, translating prototypes into robust, high yield designs suited to volume replication routes, • Liaise with external fabrication and manufacturing partners, • Take ownership of specific subsystems or experiments from concept through to testing and iteration, • Balance engineering trade offs between performance, manufacturability, and cost, • Operate within the QMS, moving between rapid prototyping and regulated product development, • Translate overall system and product requirements into sub system requirements, and develop microfluidic systems that meet them, • Ensure engineering concepts are grounded in biological reality, working closely with the scientific team, • Plan, capture, and record design rationale, protocols, and results in clear engineering documentation to support verification, validation, and regulatory submission REQUIREMENTS Essential • Degree in engineering, physics, or a related quantitative discipline, or equivalent practical experience, • Strong fundamentals in fluid mechanics or transport phenomena, • Proven hands on experience with experimental systems or prototyping, including designing, building, and testing physical devices, fluidic systems, or experimental hardware, ideally in a commercial setting, • Ability to work independently, prioritise in a fast moving startup environment, and communicate concepts clearly to colleagues from other disciplines, • Confidence integrating into a multidisciplinary team of scientists, engineers, and clinicians, • A pragmatic problem solver, open to constructive challenge, with a continuous improvement mindset Note: A combination of all or most of these traits would qualify someone for the top end of the salary banding. Desirable • Experience with microfluidics, lab on chip systems, or small scale fluid systems, • Familiarity with CAD, ideally Solidworks, • Experience scaling microfluidic systems for high volume manufacture, • Familiarity with microfabrication and replication techniques and the tolerances they impose, • Experience with surface functionalisation, bonding, and sealing of polymers, • Experience handling biological samples such as blood or cell suspensions, with associated safety practice, • Familiarity with design of experiments (DOE) and statistical analysis of test data, • Experience developing microfluidic devices coupled with optical detection and analytical workflows, • Working knowledge of one or more of ISO 13485:2016, ISO 14971, EU IVDR, and FDA 21 CFR Part 820, • Experience in an early stage startup or spin out environment experiencing rapid growth WHAT'S ON OFFER • The opportunity to own core microfluidics technology at a company delivering genuine translational impact in antimicrobial resistance diagnostics, • A broad, hands on remit spanning rapid prototyping through to manufacture, with real influence over design direction, • Direct access to and collaboration with the founding team and scientific leadership, • Competitive salary, commensurate with experience and company stage HOW TO APPLY For a confidential discussion about this role, please contact Max Marcus at Platform Recruitment. Seniority Level Mid-Senior level Industry • Medical Equipment Manufacturing Employment Type Full-time Job Functions • Engineering Skills • Part 820, • On Site, • Medical Devices, • Translation, • 21 CFR, • SOLIDWORKS, • Databases, • Direct Access, • CFR

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